Software · AI · Machine learning
Software that learns from your data.
We build reliable applications and AI models that forecast, automate and support decisions – from the first idea to a working solution in production.
model · forecast
Demand forecast
Accuracy (MAPE)
4.2%
Services
From data to a working solution
We cover the full cycle – application development, modelling, integration and maintenance. Solutions are designed to run in your environment, on your data.
Custom software development
Web applications, APIs and back-end systems built around your processes. Clean architecture, automated tests and documentation.
Artificial intelligence and LLMs
Smart assistants, search over your own documents (RAG), automated text processing and integration of large language models into existing systems.
Machine learning
Classification, regression, anomaly detection and recommender systems – from data exploration to a validated model.
Predictive models
Forecasting demand, sales, consumption or failures from time series, with uncertainty estimates you can trust.
Data engineering and MLOps
Data pipelines, automated training and deployment of models, and monitoring of prediction quality in production.
Consulting and prototypes
Feasibility assessment, rapid prototypes and a clear plan before you invest in development. No promises the data cannot back up.
Use cases
Where data pays off most
01
Demand forecasting
Better planning of inventory, production and staffing.
02
Predictive maintenance
Detect failures before they cause downtime.
03
Anomaly detection
Alerts on unusual transactions, measurements or events.
04
Document processing
Automatically read, classify and summarise documents.
05
Customer churn
Identify customers at risk of leaving and act in time.
06
Price optimisation
Prices that account for demand, seasonality and competition.
Approach
A clear process, measurable results
- 1
Understand the problem
Together we define the business goal, success metric and available data.
- 2
Data and prototype
Data analysis and a quick prototype show what is realistically achievable.
- 3
Build and validate
A robust model and application, tested on data the model has never seen.
- 4
Production and monitoring
Deployment into your environment, quality monitoring and regular updates.
Technology
Proven tools for serious solutions
We choose technology that fits the problem and your infrastructure – in the cloud or on-premises.
Machine learning & AI
- Python
- scikit-learn
- PyTorch
- LightGBM
- XGBoost
- Hugging Face
Data
- pandas
- Polars
- SQL
- PostgreSQL
- Apache Spark
Development
- TypeScript
- C# / .NET
- FastAPI
- Angular
- React
- Astro
Infrastructure & MLOps
- Docker
- Kubernetes
- MLflow
- Azure
- AWS
- Cloudflare
- GitHub Actions
Security
- OWASP Top 10
- OAuth 2.0 / OpenID Connect
- Microsoft Entra ID
- Azure Key Vault
- SonarQube
- OWASP ZAP
Contact
Have an idea, or data waiting to be put to use?
Describe the challenge in a few sentences. We reply within one business day and suggest next steps – no strings attached.